Fast image blurring using Lookup Table for scale space (映像表現&コンピュータグラフィックス メディア工学 放送技術)
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, a novel fast Gaussian blurring method that uses Look-Up Table (LUT) is presented for creating a real time Difference of Gaussian (DoG) pyramid. The LUT for fast and accurate Gaussian blur is obtained from the values calculated from one-dimensional (1D) Gaussian elements and pixel values of image. To evaluate the method, computation time and similarity with a conventional two-dimensional (2D) Gaussian blur are measured, and compared to other blurring methods. Based on the computational results, the proposed method shows good performance than other blurring methods such as box filter, Stack-blur, Romain Guy's method, and recursive Gaussian blur. The proposed method could be effectively applied to create the DoG pyramid for feature extraction.
- 2009-11-19
著者
-
NISHIMURA Toshihiro
Graduate school of Information, Production and System, Waseda University
-
RYU Jegoon
Graduate School of Information, Production and Systems, Waseda University
-
Ryu Jegoon
Graduate School Of Information Production And Systems Waseda University
-
Nishimura Toshihiro
Graduate School Of Information Production And Systems Waseda University
-
Nishimura Toshihiro
Graduate School Of Information Production And System Waseda University
関連論文
- Segmentation of breast lesions in ultrasound images using fuzzy clustering based on structure tensors (MEとバイオサイバネティックス)
- Fast Algorithms of Morphological Operations by Double Structuring Elements and Their Application to Ultrasound Image
- Gradient direction based anisotropic diffusion in Laplacian pyramid domain for US image speckle reduction (MEとバイオサイバネティックス)
- Fast image blurring using Lookup Table for scale space (映像表現&コンピュータグラフィックス メディア工学 放送技術)
- Noise Reduction in CMOS Image Sensor Using Cellular Neural Networks with a Genetic Algorithm
- 3D-weighted filtering for the 1/f noise reduction on CMOS image sensor (映像表現&コンピュータグラフィックス メディア工学 放送技術)
- 3D-weighted filtering for the 1/f noise reduction on CMOS Image Sensor (画像工学)
- Segmentation of Breast Lesions in Ultrasound Images Using Fuzzy Clustering based on Structure Tensors
- Noise Reduction in CMOS Image Sensor Using Cellular Neural Networks with a Genetic Algorithm
- An Equivalent Modeling for Ca^-Dependent Insulin Secretion in Electrical Coupling of the β-Cells
- Fast image blurring using Lookup Table for scale space (画像工学)
- Gradient Direction Based Anisotropic Diffusion in Laplacian Pyramid Domain for US image Speckle Reduction
- Movement detecting system by using fish-eye lens and acceleration sensor for the implementation of healthcare monitoring (画像工学)
- A study of acoustic field measurement for US probe performance testing by using channel division (画像工学)
- A detected the cancer region for active contour model using the level set method (画像工学)
- Modeling and evaluation of random telegraph signal noise on CMOS image sensor in motion pictures (メディア工学 放送技術 映像表現&コンピュータグラフィックス)
- A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture
- Poster presentation: An equivalent modeling for Ca[2+]-dependent insulin secretion in electrical coupling of the β-cells (MEとバイオサイバネティックス)
- SSM-HPC : Front View Gait Recognition Using Spherical Space Model with Human Point Clouds